Bøger af Kavita Saini

ES-361 शैक्षिक प्रौघोगिकी Topics Covered अध्याय-1 शैक्षिक प्रौद्योगिकी बहुमुखी समस्या-समाधान प्रणाली अध्याय-2 अधुनातन शैक्षिक प्रौद्योगिकी अध्याय-3 प्रक्रिया साम्रगी का विकास अध्याय-4 अधिगम को इष्टतम (अनुकूलतम) बनाना प्रश्न पत्र (1) जून 2002 (2) दिसम्बर 2002 (3) जून 2003 (4) दिसम्बर 2003 (5) दिसम्बर 2005 (हल सहित) (6) जून 2006 (हल सहित) (7) दिसम्बर 2006 (हल सहित) (8) जून 2007 (हल सहित) (9) दिसम्बर 2007 (हल सहित) (10) जून 2008 (हल सहित) (11) जून 2009 (12) दिसम्बर 2009 (13) जून 2010 (14) दिसम्बर 2010 (हल सहित) (15) जून 2011 (हल सहित) (16) दिसम्बर 2011 (17) जून 2012 (हल सहित) (18) दिसम्बर 2012 (19) जून 2013 (20) दिसम्बर 2013 (21) जून 2014 (22) दिसम्बर 2014 (23) जून 2015 (24) दिसम्बर 2015 (25) जून 2016 (26) दिसम्बर 2016 (27) जून 2017 (28) दिसम्बर 2017 (29) जून 2018 (30) दिसम्बर 2018 (31) जून 2019 (32) दिसम्बर 2019 (33) जून 2020 (34) दिसम्बर 2020

There is no doubt that there has been much excitement regarding the pioneering contributions of artificial intelligence (AI), the internet of things (IoT), and blockchain technologies and tools in visualizing and realizing smarter as well as sophisticated systems and services. However, researchers are being bombarded with various machine and deep learning algorithms, which are categorized as a part and parcel of the enigmatic AI discipline. The knowledge discovered gets disseminated to actuators and other concerned systems in order to empower them to intelligently plan and insightfully execute appropriate tasks with clarity and confidence. The IoT processes in conjunction with the AI algorithms and blockchain technology are bound to lay out a stimulating foundation for producing and sustaining smarter systems for society. Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology articulates and accentuates various AI algorithms, fresh innovations in the IoT, and blockchain spaces. The domain of transforming raw data to information and to relevant knowledge is gaining prominence with the availability of data ingestion, processing, mining, analytics algorithms, platforms, frameworks, and other accelerators. Covering topics such as blockchain applications, Industry 4.0, and cryptography, this book serves as a comprehensive guide for AI researchers, faculty members, IT professionals, academicians, students, researchers, and industry professionals.

The merger of Internet of Things (IoT) and blockchain technology is a step towards creating a verifiable, secure and permanent method of recording data processed by ¿smart¿ machines. This book explores the platforms and applications of blockchain-enabled IoT.

This book illustrates how the blockchain is being sustained through a host of platforms, programming languages, and enabling tools. It details how blockchain is being blended with cloud computing, big data analytics and IoT across all industry verticals.